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Spatial Computing

Build AR/VR and spatial computing experiences for Apple Vision Pro and Meta Quest.

What is Spatial Computing?

Spatial Computing is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to emerging, this skill activates automatically — bringing domain-specific knowledge about spatial computing, ar vr, apple vision pro, mixed reality directly into your development workflow.

Generates AR/VR/XR applications: 3D scene management, spatial anchors, hand tracking, eye tracking, and spatial audio. Handles Unity XR Toolkit, WebXR, Apple Vision Pro (RealityKit), and Meta Quest development. Covers spatial UI design and multi-user shared experiences.

Key Capabilities

  • Generates complete, working implementations for spatial computing with proper error handling and edge cases
  • Understands best practices and security patterns specific to emerging development
  • Provides step-by-step guidance from setup through production deployment
  • Adapts to your existing codebase — works with any framework, language, or architecture
  • Generates tests alongside implementation code to ensure reliability
  • Specialized knowledge of ar vr patterns, common pitfalls, and optimization techniques

How to Use Spatial Computing on Multos AI

Example Prompts

  • "Build a WebXR experience with hand tracking and spatial UI"
  • "Create an AR product visualization app with Apple ARKit"
  • "Implement shared spatial anchors for multi-user VR collaboration"

Example Output

// WebXR with hand tracking
const session = await navigator.xr.requestSession('immersive-ar', {
  requiredFeatures: ['hand-tracking', 'hit-test']
});
session.requestAnimationFrame(function onFrame(time, frame) {
  for (const hand of frame.getHands()) {
    const pinch = hand.get('index-finger-tip');
    if (pinchDetected(hand)) {
      placeObject(pinch.transform.position);
    }
  }
});

Real-World Use Case

A furniture retailer built an AR app: customers point their phone at a room, the app detects floor planes and walls, then places true-to-scale 3D furniture models with realistic lighting — reducing returns by 35% because customers see exactly how items fit.

Frequently Asked Questions

What is the Spatial Computing skill in Multos AI?

The Spatial Computing skill is a specialized AI capability within Multos AI that build ar/vr and spatial computing experiences for apple vision pro and meta quest. It activates automatically when your prompt relates to emerging tasks, providing expert-level guidance and production-ready code.

Do I need to configure Spatial Computing manually?

No. Multos AI uses intent detection to activate the Spatial Computing skill automatically when your request involves spatial computing. There's no setup, no plugins to install, and no configuration files to manage.

Which AI models work best with Spatial Computing?

All 33 models on Multos AI can leverage the Spatial Computing skill. For complex emerging tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.

Can I use Spatial Computing with my existing project?

Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the Spatial Computing skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.

Is Spatial Computing available on the free plan?

Yes, all 70 agent skills including Spatial Computing are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex emerging tasks.

Related Emerging Skills

Build with Spatial Computing on Multos AI

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